This article explores how simple expressions can be transformed into more complex, impressive forms. By abstracting basic equations with advanced mathematical concepts, we create formulations that demand attention, intrigue, and academic prestige.

This study explores the use of advanced time series models—Exponential Smoothing State Space Model (ETS), Autoregressive Integrated Moving Average (ARIMA), and Neural Network Time Series Model (NNETAR)—to predict the weekly incidence of dengue fever in San Juan, Puerto Rico, and Iquitos, Peru.

Project Overview: Analyze stock market data and recommending an optimal portfolio.

Key Test Formulas: Essential statistical tools and insights with fundamental test statistics equations

Summarize, analyze and interpret some data on the individuals who participated in the study

Survival analysis also known as time-to-event analysis or duration analysis, is a branch of statistics that focuses on analyzing the expected duration of time until specific events occur

Experiment that tested the effect of different treatments on the population of flumi beans. The data was collected from four blocks with seven treatments in each block.

Australia, known for its diverse landscapes, unique wildlife, and vibrant cities, attracts millions of tourists each year. Understanding and predicting the patterns of tourist arrivals can aid in optimizing resource allocation, marketing strategies, and infrastructure development.

. The one-way ANOVA was used to test whether the mean butterfat content of milk differs among four breeds of cows.

It aims to enhance familiarity with R while deepening understanding of different probability distributions. While some R code is involved, the assignment is designed to minimize complexity.

Machine learning is a powerful tool that can be used to improve the accuracy of sales forecasting. In this report, we will be discussing one of the most popular machine learning algorithms for this task: Random Forest.